Sentence examples for a large matrix of from inspiring English sources
Using this method, a large matrix of SCC mixes, made of different aggregate types, sizes, and supplementary cementitious material (SCMs) types, was designed to have a particle distribution modulus (q) ranging from 0.23 to 0.29.
EDW requirements must represent stakeholders at least three levels within the company; data modeling must draw upon hyper modeled designs; and quality assurance must address a large matrix of test types, architectural layers, and stakeholder groupings.
Here, we present a novel approach which consists in combining electron backscatter diffraction (EBSD), digital image correlation and electron channelling contrast imaging (ECCI), enabling us to systematically probe a large matrix of different parameters with the aim of correlating and comparing their interdependence.
The DI can be automatically computed at the sensor as well as at the source level (Fig. 2) on a large matrix of spatial-temporal data, without having to select particular peaks, or components.
(A ) A large matrix of single-trial data is formed by stacking data across all recordings.
These lists are summarized in a large matrix of genes and topologies, which is subsequently treated by clustering methods.
If the correlations among cognitive abilities are part of a larger matrix of positive associations among fitness-related traits, then intelligence ought to correlate with seemingly unrelated traits that affect fitness such as semen quality.
Twelve isolated reconstructed prairies (small, surrounded by agriculture), 12 integrated reconstructions (planting units in a larger matrix of reconstructed and remnant prairies), and 12 remnant prairies were surveyed for butterfly and plant diversity, abundance and composition.
The results also show the proposed method consumes less time to calculate SVD values than S-OMP because it deals with a reduced matrix size of Y red ∈ ℂ M × K while S-OMP has to work with a larger matrix of Y ∈ ℂ M × L.
However, the method is computationally intensive as it requires inversion of a large matrix for satisfactory performance.
Inversion of such a large matrix, given also the colinearities because of the projection through the inverse solution, can be very problematic and can lead to singular inverse matrices.
